

Dott. Federico Bolelli
Homepage:
http://www.federicobolelli.itPosition at Imagelab:
Postdoctoral FellowDipartimento di Ingegneria "Enzo Ferrari", Modena Italy
Email:
federico_DOT_bolelli_AT_unimore_DOT_itPhone:
+39-059-2058787Federico Bolelli
Federico Bolelli is a postdoctoral researcher at the University of Modena and Reggio Emilia, Italy, where he works under the supervision of Prof. Costantino Grana within the AImagelab research group.
From the same University, he received the B.Sc. and M.Sc. degrees cum laude in Computer Engineering at the Department of Engineering "Enzo Ferrari" and the PhD degree in ICT from the International Doctorate School.
His research interests include image processing, algorithms optimization, medical imaging and historical document analysis. Among his research topics, he has worked on the optimization of binary image processing algorithms, modelling innovative approaches that significantly improve the performance on both CPU and GPU architectures. He has also worked on skin lesion segmentation and classification for melanoma skin cancer detection and handwritten text recognition of historical documents.
Since 2019, he is working at the DeepHealth H2020 European Project where, among others, he is responsible for the developing of the European Computer Vision Library (ECVL).
He is a member of IEEE and CVPL, the Italian Association for Computer Vision, Pattern Recognition and Machine Learning.
Curriculum vitae: download
Keywords: Optimization, Binary Image Processing, Deep Learning, Medical Imaging, Deep Health, Handwritten Text Recognition
News
30/06/2020 - Hardware funded by UNIMORE under FAR 2020, call for equipment
Our research group received a 20,000.00 € grant under UNIMORE FAR 2020 (University Fund for Research - Fondo di Ateneo per la Ricerca), call for equipment. Also thanks to the financial contribution of Prof. Giovanni Pellacani, Prof. Riccardo Magistroni, and Dr. Alexandre Anesi research teams, we will equip our lab with a new server system (~162 TFLOPS) to train AI models for Medical Imaging. |
03/04/2020 - Project funded in the "High Skills for Research and Technological Transfer" call
Our research project "Automated detection of the Inferior Alveolar nerve Canal (IAC) in Cone Beam Computed Tomography (CBCT) using deep-learning techniques" has been selected by Emilia Romagna region in the call "Alte Competenze per la Ricerca e il Trasferimento Tecnologico" (High Skills for Research and Technological Transfer). Together with the team of Prof. Alexandre Anesi, our research group will receive a 30,000.00 € grant for a fellow position. |
16/12/2019 - Certificate of merit for scientific research in 2019 @ UNIMORE
UNIMORE awarded more than 70 students and researchers with a certificate of merit for having distinguished themselves in national and international scientific research in 2019. I am proud to be one of them! . |
29/09/2019 - The paper on Spaghetti Labeling has been accepted at Transactions on Image Processing!
Our paper "Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling" has been accepted at "IEEE Transactions on Image Processing - TIP". See the paper and the source code on GitHub. |
04/09/2019 - Best Paper Award at CAIP 2019
Our paper "How does Connected Components Labeling with Decision Trees perform on GPUs?" has been awarded as the best paper of the "18th International Conference on Computer Analysis of Images and Patterns" . See the paper and the GitHub repository with the source code. |
Older news can be found in the news section of my website.
Teaching Activities
- Fondamenti di Informatica II e Lab, Tutor (2020) - Course in Italian
- Multimedia Data Processing (2020) - Course in English
Past Courses
- Fondamenti di Informatica II e Lab, Tutor (2019) - Course in Italian
- Fondamenti di Informatica II e Lab, Tutor (2018) - Course in Italian
- Fondamenti di Informatica II e Lab, Tutor (2017) - Course in Italian
Short Courses
- Corso di Istruzione e Formazione Tecnica Superiore (2019)
- Anticipare la Crescita con le Nuove Competenze sui Big Data - II edizione (2019)
- Data Protection Officer & Analyst - II edizione (2019)
- Machine Learning e Deep Learning Corso Teorico e Pratico (2019)
- Machine Learning e Deep Learning Corso Teorico e Pratico (2018)
More information available here.
Theses Supervision
-
2020 - Maximilian Söchting (MSc, Erasmus+ from the Hasso Plattner Institute of Potsdam University) - Using Heuristics for Decision Tree Generation in Image Processing.
-
2020 - Sara Sarto (BSc) - Sviluppo di un'Applicazione Web in Django per Gestire Domanda e Offerta di Tesi e di Attività Progettuali (Development of a Web Application in Django to Manage Demand and Supply of Theses and Project Activities).
-
2019 - Andrea Polastri (BSc) - RaspMostat: Termodensimetro Digitale per il Controllo Remoto del Processo di Fermentazione (RaspMostat: Digital Thermodensimeter to Remotely Control the Fermentation Process).
-
2019 - Stefano Allegretti (MSc, currently Ph.D. Student) - Optimization of Connected Components Labeling Algorithms on Binary Images for CPUs and GPUs.
-
2018 - Cristian Mercadante (BSc) - Installazione e Configurazione di Sharelatex su Piattaforma Docker (Installation and configuration of Sharelatex on Docker Platform).
-
2017 - Federico Pollastri (MSc, currently Ph.D. Student) - Impact of a Generative Adversarial Network synthetic dataset on fully convolutional-deconvolutional networks for automatic skin lesion segmentation training.
-
2017 - Michele Cancilla (MSc, currently Research Fellow) - Parallelization of Connected Components Labeling Algorithms.
Research Projects
- Indexing of Historical Handwritten Documents
- Deep-Learning and HPC to Boost Biomedical Applications for Health
Research Activities
Publications
1 | Aldinucci, Marco; Atienza, David; Bolelli, Federico; Caballero, Mónica; Colonnelli, Iacopo; Flich, José; Gómez, Jon A.; González, David; Grana, Costantino; Grangetto, Marco; Leo, Simone; López, Pedro; Oniga, Dana; Paredes, Roberto; Pireddu, Luca; Quiñones, Eduardo; Silva, Tatiana; Tartaglione, Enzo; Zapater, Marina "The DeepHealth toolkit: a key European free and open-source software for Deep Learning and Computer Vision ready to exploit heterogeneous HPC and cloud architectures" Technologies and Applications for Big Data Value, pp. 1 -21 , 2021 Chapter in Book |
2 |
Bolelli, Federico; Allegretti, Stefano; Grana, Costantino
"A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes"
Reproducible Research in Pattern Recognition,
Milan, Italy,
Jan 10-15,
2021
Conference
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3 |
Mercadante, Cristian; Cipriano, Marco; Bolelli, Federico; Pollastri, Federico; Di Bartolomeo, Mattia; Anesi, Alexandre; Grana, Costantino
"A Cone Beam Computed Tomography Annotation Tool for Automatic Detection of the Inferior Alveolar Nerve Canal"
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
vol. 4,
Vienna, Austria,
pp. 724
-731
,
Feb 8-10,
2021
| DOI: 10.5220/0010392307240731
Conference
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4 |
Bolelli, Federico; Allegretti, Stefano; Grana, Costantino
"One DAG to Rule Them All"
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
pp. 1
-12
,
2021
Journal
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5 |
Pollastri, Federico; Parreño, Mario; Maroñas, Juan; Bolelli, Federico; Paredes, Roberto; Ramos, Daniel; Grana, Costantino
"A Deep Analysis on High Resolution Dermoscopic Image Classification"
IET COMPUTER VISION,
pp. 1
-10
,
2021
Journal
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6 |
Cancilla, Michele; Canalini, Laura; Bolelli, Federico; Allegretti, Stefano; Carrión, Salvador; Paredes Palacios, Roberto; Ander Gómez, Jon; Leo, Simone; Enrico Piras, Marco; Pireddu, Luca; Badouh, Asaf; Marco-Sola, Santiago; Alvarez, Lluc; Moreto, Miquel; Grana, Costantino
"The DeepHealth Toolkit: A Unified Framework to Boost Biomedical Applications"
2020 25th International Conference on Pattern Recognition (ICPR),
Milan, Italy,
Jan 10-15,
2021
Conference
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7 |
Pollastri, Federico; Maroñas, Juan; Bolelli, Federico; Ligabue, Giulia; Paredes, Roberto; Magistroni, Riccardo; Grana, Costantino
"Confidence Calibration for Deep Renal Biopsy Immunofluorescence Image Classification"
2020 25th International Conference on Pattern Recognition (ICPR),
Milan, Italy,
Jan 10-15,
2021
Conference
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8 |
Söchting, Maximilian; Allegretti, Stefano; Bolelli, Federico; Grana, Costantino
"A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes"
2020 25th International Conference on Pattern Recognition (ICPR),
Milan, Italy,
Jan 10-15,
2021
Conference
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9 |
Allegretti, Stefano; Bolelli, Federico; Pollastri, Federico; Longhitano, Sabrina; Pellacani, Giovanni; Grana, Costantino
"Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval"
2020 25th International Conference on Pattern Recognition (ICPR),
Milan, Italy,
Jan 10-15,
2021
Conference
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10 |
Bolelli, Federico; Cancilla, Michele; Baraldi, Lorenzo; Grana, Costantino
"Towards Reliable Experiments on the Performance of Connected Components Labeling Algorithms"
JOURNAL OF REAL-TIME IMAGE PROCESSING,
vol. 17,
pp. 229
-244
,
2020
| DOI: 10.1007/s11554-018-0756-1
Journal
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11 |
Allegretti, Stefano; Bolelli, Federico; Grana, Costantino
"A Warp Speed Chain-Code Algorithm Based on Binary Decision Trees"
4th International Conference on Imaging, Vision & Pattern Recognition,
Kitakyushu, Fukuoka, Japan,
pp. 1
-8
,
Aug 26-29,
2020
| DOI: 10.1109/ICIEVicIVPR48672.2020.9306532
Conference
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12 |
Ligabue, Giulia; Pollastri, Federico; Fontana, Francesco; Leonelli, Marco; Furci, Luciana; Giovanella, Silvia; Alfano, Gaetano; Cappelli, Gianni; Testa, Francesca; Bolelli, Federico; Grana, Costantino; Magistroni, Riccardo
"Evaluation of the Classification Accuracy of the Kidney Biopsy Direct Immunofluorescence through Convolutional Neural Networks"
CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY,
vol. 15,
pp. 1445
-1454
,
2020
| DOI: 10.2215/CJN.03210320
Journal
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13 | Bolelli, Federico "Ottimizzazione di Algoritmi per l’Elaborazione di Immagini Binarie" 2020 Other |
14 |
Bolelli, Federico; Allegretti, Stefano; Baraldi, Lorenzo; Grana, Costantino
"Spaghetti Labeling: Directed Acyclic Graphs for Block-Based Connected Components Labeling"
IEEE TRANSACTIONS ON IMAGE PROCESSING,
vol. 29,
pp. 1999
-2012
,
2020
| DOI: 10.1109/TIP.2019.2946979
Journal
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15 |
Allegretti, Stefano; Bolelli, Federico; Grana, Costantino
"Optimized Block-Based Algorithms to Label Connected Components on GPUs"
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,
vol. 31,
pp. 423
-438
,
2020
| DOI: 10.1109/TPDS.2019.2934683
Journal
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16 |
Pollastri, Federico; Bolelli, Federico; Paredes Palacios, Roberto; Grana, Costantino
"Augmenting data with GANs to segment melanoma skin lesions"
MULTIMEDIA TOOLS AND APPLICATIONS,
vol. 79,
pp. 15575
-15592
,
2020
| DOI: 10.1007/s11042-019-7717-y
Journal
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17 |
Pini, Stefano; Cornia, Marcella; Bolelli, Federico; Baraldi, Lorenzo; Cucchiara, Rita
"M-VAD Names: a Dataset for Video Captioning with Naming"
MULTIMEDIA TOOLS AND APPLICATIONS,
vol. 78,
pp. 14007
-14027
,
2019
| DOI: 10.1007/s11042-018-7040-z
Journal
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18 |
Bolelli, Federico; Grana, Costantino
"Improving the Performance of Thinning Algorithms with Directed Rooted Acyclic Graphs"
Image Analysis and Processing – ICIAP 2019,
vol. 11752,
Trento, Italy,
pp. 148
-158
,
Sep 9-13,
2019
| DOI: 10.1007/978-3-030-30645-8_14
Conference
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19 |
Allegretti, Stefano; Bolelli, Federico; Cancilla, Michele; Grana, Costantino
"A Block-Based Union-Find Algorithm to Label Connected Components on GPUs"
Image Analysis and Processing – ICIAP 2019,
vol. 11752,
Trento, Italy,
pp. 271
-281
,
Sep 9-13,
2019
| DOI: 10.1007/978-3-030-30645-8_25
Conference
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20 |
Canalini, Laura; Pollastri, Federico; Bolelli, Federico; Cancilla, Michele; Allegretti, Stefano; Grana, Costantino
"Skin Lesion Segmentation Ensemble with Diverse Training Strategies"
Computer Analysis of Images and Patterns,
vol. 11678,
Salerno, Italy,
pp. 89
-101
,
Sep 3-5,
2019
| DOI: 10.1007/978-3-030-29888-3_8
Conference
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21 |
Allegretti, Stefano; Bolelli, Federico; Cancilla, Michele; Pollastri, Federico; Canalini, Laura; Grana, Costantino
"How does Connected Components Labeling with Decision Trees perform on GPUs?"
Computer Analysis of Images and Patterns,
vol. 11678,
Salerno, Italy,
pp. 39
-51
,
Sep 3-5,
2019
| DOI: 10.1007/978-3-030-29888-3_4
Conference
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22 |
Bolelli, Federico; Cancilla, Michele; Baraldi, Lorenzo; Grana, Costantino
"Connected Components Labeling on DRAGs: Implementation and Reproducibility Notes"
Reproducible Research in Pattern Recognition,
vol. 11455,
Beijing, China,
pp. 89
-93
,
Aug 20-24,
2019
| DOI: 10.1007/978-3-030-23987-9_7
Conference
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23 |
Bolelli, Federico; Baraldi, Lorenzo; Grana, Costantino
"A Hierarchical Quasi-Recurrent approach to Video Captioning"
2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS),
Inria Sophia Antipolis, France,
pp. 162
-167
,
Dec 12-14,
2018
| DOI: 10.1109/IPAS.2018.8708893
Conference
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24 |
Bolelli, Federico; Baraldi, Lorenzo; Cancilla, Michele; Grana, Costantino
"Connected Components Labeling on DRAGs"
2018 24th International Conference on Pattern Recognition (ICPR),
Beijing, China,
pp. 121
-126
,
Aug 20-24,
2018
| DOI: 10.1109/ICPR.2018.8545505
Conference
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25 |
Allegretti, Stefano; Bolelli, Federico; Cancilla, Michele; Grana, Costantino
"Optimizing GPU-Based Connected Components Labeling Algorithms"
2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS),
Inria Sophia Antipolis, France,
pp. 175
-180
,
Dec 12-14,
2018
| DOI: 10.1109/IPAS.2018.8708900
Conference
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26 |
Pollastri, Federico; Bolelli, Federico; Paredes, Roberto; Grana, Costantino
"Improving Skin Lesion Segmentation with Generative Adversarial Networks"
2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS),
vol. 2018-,
Karlstad, Sweden,
pp. 442
-443
,
Jun 18-21,
2018
| DOI: 10.1109/CBMS.2018.00086
Conference
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27 |
Bolelli, Federico; Borghi, Guido; Grana, Costantino
"XDOCS: An Application to Index Historical Documents"
Digital Libraries and Multimedia Archives,
vol. 806,
Udine, Italy,
pp. 151
-162
,
Jan 25-26,
2018
| DOI: 10.1007/978-3-319-73165-0_15
Conference
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28 |
Bolelli, Federico
"Indexing of Historical Document Images: Ad Hoc Dewarping Technique for Handwritten Text"
Digital Libraries and Archives,
vol. 733,
Modena, Italy,
pp. 45
-55
,
Jan 26-27,
2017
| DOI: 10.1007/978-3-319-68130-6_4
Conference
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29 |
Bolelli, Federico; Cancilla, Michele; Grana, Costantino
"Two More Strategies to Speed Up Connected Components Labeling Algorithms"
Image Analysis and Processing - ICIAP 2017,
vol. 10485,
Catania,
pp. 48
-58
,
Sep 11-15,
2017
| DOI: 10.1007/978-3-319-68548-9_5
Conference
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30 |
Bolelli, Federico; Borghi, Guido; Grana, Costantino
"Historical Handwritten Text Images Word Spotting through Sliding Window HOG Features"
Image Analysis and Processing - ICIAP 2017,
vol. 10484,
Catania, Italy,
pp. 729
-738
,
Sep 11-15,
2017
| DOI: 10.1007/978-3-319-68560-1_65
Conference
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31 |
Grana, Costantino; Bolelli, Federico; Baraldi, Lorenzo; Vezzani, Roberto
"YACCLAB - Yet Another Connected Components Labeling Benchmark"
2016 23rd International Conference on Pattern Recognition (ICPR),
Cancun, Mexico,
pp. 3109
-3114
,
Dec 4-8,
2016
| DOI: 10.1109/ICPR.2016.7900112
Conference
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32 |
Grana, Costantino; Baraldi, Lorenzo; Bolelli, Federico
"Optimized Connected Components Labeling with Pixel Prediction"
Advanced Concepts for Intelligent Vision Systems,
vol. 10016,
Lecce, Italy,
pp. 431
-440
,
Oct 24-27,
2016
| DOI: 10.1007/978-3-319-48680-2_38
Conference
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